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刘增凯,德国洪堡学者,黑龙江省优青,副教授,硕士生导师。德国杜伊斯堡-埃森大学和德国亥姆霍兹吉斯达赫材料与海岸研究中心博士后。主要研究方向为人工智能方法在水下机器人等海洋工程装备领域的应用,具体包括海洋工程装备的智能运维理论、智能化故障预测及诊断方法、可靠性/安全性评估方法及理论等。共发表SCI论文52篇,授权发明专利36项,合作出版专著3本。承担或参与了国家重点研发计划项目、国家863计划项目、国家自然科...
刘增凯
Associate Professor
Paper Publications
Intelligent fault diagnosis based on TimeGAN with channel-temporal attention module,Neurocomputing,671()
Asymmetric convolution and multi-head self-attention based meta-transfer learning network for fault diagnosis of underwater thrusters under few-shot and multi-condition scenarios,OCEAN ENGINEERING,342(P3)
A multi-state reliability assessment method of redundant components in subsea electronic control systems based on competing failure process,PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART O-JOURNAL OF RISK AND RELIABILITY,()
Multi-source domain adaptation fault diagnosis for AUV thrusters based on dynamic weighted learning batch spectral penalization network with dynamic transfer,Ocean Engineering,332()
Failure Modes and Reliability Analysis of Autonomous Underwater Vehicles-A Review,JOURNAL OF MARINE SCIENCE AND APPLICATION,()
Design and analysis of water-powered soft robotic arms: effects of chamber geometry on flexibility and load capacity,Smart Materials and Structures,34(3)
Few-shot fault diagnosis of underwater thrusters based on semi-supervised prototypical network with SimAM attention and auxiliary classifier,Ocean Engineering,312()
Modeling for dependent competing failure processes of subsea pipelines considering parameter uncertainty based on dynamic Bayesian network.,Ocean Engineering,2023,
Modeling weathering processes of spilled oil on the sea surface based on dynamic Bayesian network,OCEAN ENGINEERING,2023,
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